Ethical Machines against Unethical Computer-mediated Social Interactions

Abstract

It is an ongoing trend that the current social platforms are becoming a perfect channel for a real unethical behavior, cyberbullying among digital native youngsters. Human beings are able to think and are capable of discerning the bad and the good; the morality of their acts. On the contrary, machines cannot think, but, could be programmed to detect no morally behaviors or reprehensible code of conducts? This review provides a new classifier that facilitates new methods of detecting cyberbullying patterns in computer-mediated social interactions, by identifying current problem scenarios and defining the set of values, linguistic implications, semantics, and psychological consequences.